AIPI 540 Flashcards
AIPI 540: Deep Learning Applications
What is deep learning?
Deep learning is a subset of representation learning, which is a subset of machine learning, which is a subset of AI
Key concept of Deep learning is that?
it utilizes neural networks
The “Deep” in Deep Learning refers to the?
Refers to the number of layers through which the data is transformed
Deep Learning Algorithms Automatically discover and learn what?
Features from the data
Deep learning is contradictory to machine learning in which way?
With Machine Learning features are hand-engineered vs being discovered by the deep learning algorithms
What task are deep learning particularly useful for?
Image recognition, Natural Language Processing, and Complex decision-making
Early AI Research started in
1943 with McCulloch & Pitts proposing of a simple model of neuron
When was the first artificial neuron published?
1957 by Rosenblatt
When was the first successful Neural Network developed
1958 Stanford Researchers Widrow & Hoff
When was the first and second AI Winters
1970’s and early 2000’s
When were the Bi-directional neural network research efforts revived?
1982 by CalTech Researcher Hopfield
When did three independent Groups develop Back-propagation?
1986
When was the first ImageNet competition created by Fei-Fei Li of Stanford University
2009
Who won ImageNet in 2012 leading to widespread use of GPU’s and CNN Architectures?
AlexNet
What year did Deep ResNet Architecture greatly advance performance?
2015
